[Correction Distribution] Regarding the error in the exhibition booth of [The 36th Monozukuri World Tokyo] distributed on June 14, 2024, at 14:00.

Understanding the basis and risks of AI's judgments. Capable of learning from a small amount of data. Intuitive operation without the need for AI knowledge. Achieving continuous quality management that does not end with a PoC.

The practical "visual inspection AI" for manufacturing sites allows for high-precision learning and operation from a small amount of data with intuitive operation. It is a user-friendly and effective AI tool for site managers. Target Industries: Manufacturing (semiconductors, foundry, automotive, processed foods) / Chemicals / Pharmaceuticals Target Audience: - Production Management Department: Planning and managing production, improving production efficiency, reducing defective products - Production Technology Department: Optimizing production processes, introducing new technologies, maintaining equipment, utilizing automation technologies - Quality Control Department: Inspecting product quality, detecting and addressing defects, establishing quality assurance processes, confirming compliance with standards - DX Promotion Department: Promoting digital transformation, implementing AI, improving operations through data analysis - Companies that have already introduced image inspection machines and face challenges with over-detection Main Features: - Intuitive operation: No AI knowledge required. Easy from AI model creation to operation and quality management. - Learning from a small amount of data: Domain-specific data augmentation technology generates training data tailored to the on-site environment. - Quality management through visualization: XAI technology visualizes the reasoning behind AI decisions, making model improvement easier. - Quality verification for AI: QAAI enables quality verification of data and models, visualization, and management of change points.

• Visual Inspection Equipment

Significant efficiency improvements in manual processes with the help of AI! Analyzing work processes from videos of the manufacturing site.

What is Operator Analysis? Operator Analysis AI is an innovative tool that visualizes work on the manufacturing line in real-time and recorded footage, enabling efficient production processes. It can dramatically improve productivity and quality in manufacturing settings through accurate understanding of cycle times, optimization of process flows, improvement of work actions, optimization of personnel allocation, detection of work omissions, and estimation of work loads. Benefits of Work Analysis 1. Remarkable Efficiency - Eliminates waste through detailed analysis of work processes, significantly improving work efficiency. 2. Assurance of Top Quality - Reduces work omissions and errors through consistent procedures, dramatically enhancing product quality. 3. Improved Safety - Monitors work actions in real-time, allowing for early detection and correction of risky behaviors, thereby providing a safe working environment. 4. Cost Reduction - Reduces operational costs by eliminating unnecessary work and duplication, optimizing personnel and resources. Reasons to Choose Our Products We offer AI solutions specialized for the manufacturing industry, with extensive know-how and flexible customization options. We ensure transparency with XAI and QAAI technologies, achieving intuitive operability and rapid implementation. Our pre-validation minimizes risks and guarantees high implementation effectiveness.

• Image analysis software

[Free Download] Includes Checklist: Guide to Utilizing IT Introduction Subsidies for AI Utilization

Utilize the free checklist to streamline the application process! This guide is an ideal resource for department heads and business owners who want to implement AI technology using IT introduction subsidies to reform their operations. By using detailed procedures, key points, and checklists, you can smoothly progress through the entire process from application to implementation and operation. Download this free guide now and take the first step towards business transformation with AI. 【Main Content and Features】 - Overview of subsidy utilization: The IT introduction subsidy supports a portion of the costs necessary for implementation, such as software purchases and cloud service usage fees. - Step-by-step application guide: Clearly explains the process from subsidy application to approval. A downloadable checklist helps prevent application mistakes. - Advantages and disadvantages of implementation: Discusses specific benefits of AI technology implementation and points to consider. - Specific information for target audiences: Content tailored for small and medium-sized enterprises in specific industries such as manufacturing, presenting the maximum subsidy rate and upper limit. - Target audience: Those involved in production management, quality control, and DX promotion in the manufacturing and logistics industries.

• Other inspection equipment and devices

Easy operation even for AI beginners! A next-generation AI platform that realizes factory automation and quality control.

This is an AI platform designed for the manufacturing industry. By using this tool, you can achieve factory automation and labor reduction, while also easily managing quality control. It supports tasks such as visual inspections and analysis of worker behavior with AI, assisting operations on the shop floor. Why it’s good: It offers intuitive operation that can be used without specialized AI knowledge. It can learn from a small amount of data, making implementation easy. Additionally, it incorporates the following advanced technologies: - XAI (Explainable AI): Clarifies the reasoning behind AI decisions, allowing users to understand AI behavior. - QAAI (Quality Assurance AI): Generates data and verifies quality while considering environmental changes and disturbances, providing a stable AI model. Why explainability and robust AI are necessary: In manufacturing environments, it is crucial to understand how AI makes decisions. XAI enhances reliability by making the reasoning behind AI decisions explicit, allowing for safe operation. Furthermore, QAAI provides a robust model capable of responding to disturbances and environmental changes, ensuring stable performance on the shop floor. *For more details, please refer to the "Related Catalog" and contact us.*

• Image analysis software

DX transformation with operator analysis AI: Visualizing work processes and converting "tacit knowledge" into "explicit knowledge." We will streamline and optimize the manufacturing process!

We will clarify the tasks in manufacturing and logistics that are prone to errors and time-consuming, and achieve appropriate personnel placement, training, workload verification, and improvement of work mistakes. To this end, we will promote the digital transformation (DX) of operations, which can enhance productivity and quality. To address issues such as labor shortages and the transmission of skills, we will utilize the "Worker Analysis AI" to smoothly implement the SECI model (Socialization, Externalization, Combination, Internalization), promoting personnel training, efficient work, and knowledge sharing. The "Worker Analysis AI" strengthens corporate competitiveness and supports sustainable growth. **The Necessity of Converting Tacit Knowledge into Explicit Knowledge** In various operations, the experience of skilled workers tends to accumulate as tacit knowledge within individuals. Converting tacit knowledge into explicit knowledge offers the following benefits: - Standardization: Ensures consistency in work procedures and quality. - Efficient Training: Enables rapid training of new employees. - Knowledge Sharing: Shares knowledge across the organization, improving performance. - Risk Mitigation: Reduces risks associated with worker transfers and resignations. - Continuous Improvement: Promotes process improvements, optimizing efficiency and costs. *For more details, please refer to the "Related Catalog" and "Other Materials" and contact us.*

• Image analysis software

Attention: Improve work efficiency with the automation of image inspection! Easily and high-quality implement good product detection and defective product image generation with AI that provides understandable reasoning.

This is an AI solution designed for the manufacturing industry. It dramatically improves the automation of factory inspection tasks, enhances work efficiency, and increases the accuracy of quality control. It centralizes the generation and management of NG (non-good) data, streamlining the creation and management of AI training data. Additionally, it standardizes the skills required for inspection tasks, achieving skill-less operation. Key Features: - Intuitive operation: No need for AI expertise, easily operable by anyone. - Learning with a small amount of data: Efficient learning enables the quick construction of high-precision models. - Visualization of decision-making rationale: XAI technology clarifies the rationale behind AI decisions, enhancing reliability. - Generation and management of defective product data: Reduces the burden of data collection and optimizes quality control. Target Audience: - Production Management Department: Planning and managing production schedules, improving production efficiency, reducing defective products. - Producers: Optimizing production processes, introducing new technologies, maintaining equipment, utilizing automation technologies. - Quality Control Department: Conducting product quality inspections, detecting and addressing defective products, establishing quality assurance processes, confirming compliance with standards. - DX Promotion Department: Promoting digital transformation, implementing AI, improving operations through data analysis. - Companies that have already introduced image inspection machines and are facing issues with over-detection. *Please contact us for more information.

• Visual Inspection Equipment
• Image Processing Software
• Image analysis software

[For the manufacturing industry] Analyze and compare on-site work using AI video analysis – Identify bottlenecks and dramatically improve work efficiency with IE methods.

The "Operator Analysis AI" visualizes routine work on the manufacturing line using AI, enabling the understanding of cycle times, optimization of process flows, improvement of work actions, optimization of personnel allocation, detection of work omissions, and estimation of work loads. 【Optimal Operations】 - Comparison among operators: Improve consistency and efficiency of work using the ECRS (Eliminate, Combine, Rearrange, Simplify) method. - Creation of manuals: Promote the 3S (Sort, Set in order, Shine) principles. - Continuous operation: Review and optimize the 3M (Muri, Muda, Mura). 【Target Audience】 - Production Technology Department: For those aiming for process improvement and efficiency, promoting TQC (Total Quality Control) methods. - Production Management: For those wanting to accurately grasp cycle times and optimize production flows, supporting KY (Kiken Yochi) activities. - Quality Control: For those aiming to improve quality through the detection of work omissions and estimation of work loads. - DX Promotion Department: For those promoting digital transformation and aiming for work efficiency through IE (Industrial Engineering) methods. - Shipping Management: For those looking to enhance the efficiency and accuracy of the shipping process. You can view actual implementation examples and demos. *For details, please refer to the "Separate Catalog" and contact us.

• Image analysis software

A must-see for those considering AI implementation! Streamline NG image generation and data management; preprocessing for machine learning has become surprisingly easy!

This is the ideal data management tool for manufacturers considering AI implementation. Preparing AI training data becomes easier, leading to reduced inspection time and lighter workloads. Challenges include: - Complex data management: Organizing image data is difficult, resulting in longer AI training times. - Insufficient NG data: There is a lack of defective product data, which hinders AI accuracy. - Difficult quality control: Data quality is inconsistent, causing variability in inspection results. Implementation is very simple! - Install the tool: Easy setup with cloud provision. - Upload data: Upload existing image data to the tool. - Generate NG samples: Automatically generate the necessary defective product data. - Train AI: Effectively train AI with high-quality data. Also perfect for those who have already implemented visual inspection! - Streamlined data management: Easily integrate and manage current visual inspection data. - Quality improvement: Support for evaluating and enhancing the quality of existing data. - Flexible response: Smooth integration with existing visual inspection AI. - AI validation support: Verify the performance of the AI model after implementation and assist with optimization. For more details, please refer to the 'Related Catalog' and contact us.

• Image analysis software

Nagoya Chemical Industry Co., Ltd. will be exhibiting polyimide resins at the booth of Matsuo Sangyo Co., Ltd. during the 'Chemical Material Japan 2025' event held at Tokyo Big Sight. We also plan to showcase our developed products, including soluble polyimide, transparent polyimide, and porous polyimide, so we look forward to seeing you there.

In promoting DX and business reform projects, are your initiatives becoming "system construction first"? While you may have envisioned an ideal, it may not lead to "practical reforms" rooted in the field. For those facing such challenges, this seminar will provide hints for solutions. In this seminar, we will clearly explain the specific approach from "visualizing business processes" to "IT strategy (systemization strategy)" in business reform projects, incorporating case studies and practical steps. We will also introduce the essence of our "business process-focused, supportive consulting." Additionally, details on writing business flows, creating RFPs, and formulating systemization roadmaps will be covered in a separate seminar.

～AI Chatbot Breaks Through the Barriers of Business Knowledge! A Method to Achieve Both Talent Development and Business Efficiency Simultaneously～ The burden of searching through vast amounts of documentation in quality assurance operations has been dramatically improved by the generative AI chatbot "WisTalk"! In this seminar, Panasonic Industry Co., Ltd. will present a case study on how they utilized "WisTalk" to reduce the search workload for over 4,000 pages of quality assurance documents while balancing business quality and talent development. 【What You Will Learn in This Seminar】 ● How to inherit the knowledge of experienced personnel using AI ● The effects of reducing business burdens and improving performance through the efficiency of document search operations ● Key points for implementing an AI chatbot for knowledge search 【Recommended For】 ● Those who feel challenges in searching for business manuals and various regulatory documents ● Those considering the use of AI for promoting DX and talent development ● Those struggling with knowledge inheritance in quality assurance and technical departments In the first part, we will discuss actual implementation cases, and in the second part, we will provide a detailed explanation of the potential of "WisTalk" through product introductions. We hope you will join us!

The "Inter BEE 2025," which reflects the future of the media industry, will finally be held from November 19 (Wednesday) to November 21 (Friday) this week. DigiCon will be exhibiting at the Akamai corporate booth at this event, where the most talked-about theme in the industry right now, "the fusion of edge and cloud," can be experienced firsthand. ★☆★☆★☆★☆★☆★☆★☆★ ◆ DigiCon will exhibit at the "Inter BEE 2025" Akamai booth! ◆ ▼ Detailed Information https://www.digi-c.co.jp/news/20251104.html We will showcase demos of services such as "multi-angle streaming service" and "live streaming service"! ★☆★☆★☆★☆★☆★☆★☆★ At the booth, we will not only introduce technologies but also present "specific examples of migrating and optimizing existing products to the Akamai Connected Cloud," which directly addresses challenges in streaming infrastructure, along with easy-to-understand demonstrations. All of our staff are looking forward to seeing you at the venue. ▼ InterBEE2025 https://www.inter-bee.com/ja/

Is it best to carry over the current business processes into the next system? Even if we have built an optimal business operation through years of improvements, there is still room for productivity enhancement, and there are certainly not a few processes that have already become obsolete. A system overhaul presents a perfect opportunity to reassess the current business operations. Until now, the mainstream approach has been to customize large-scale systems that are fundamental to the company to include all necessary functions. However, the rapidly changing business environment today means that such systems cannot respond swiftly to changes. Additionally, system modifications require time and costs. So, how can we efficiently build a system that can adapt to the business environment? I will explain three key points to achieve this.